35 programming-"LIST"-"University-of-St" Postdoctoral positions at Technical University of Denmark in Denmark
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plan and conduct most of your research independently, but at the same time, you will be part of a larger, team-driven project, and should find this exciting. You should be scientifically curious and
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, sequencing, cell cultivation). Plan, perform, and analyse yeast and immunological experiments independently, driving the project forward (e.g., cellular assays, immunoassays, flow cytometry, cell sorting
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the supervision of bachelor, master, and PhD students. You will plan and conduct most of your research independently, but at the same time, you will be part of a larger, team-driven project, and should find
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genomics, or a related field Solid programming skills in a relevant language (e.g., Python or R) Experience with population genetic simulations (e.g., SLiM, msprime, or similar) Familiarity with calculating
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to moving the frontiers of science. A good understanding of electromagnetism and magnetotransport. Experience with numerical modelling techniques (ideally Comsol modelling) and programming (e.g. Matlab
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airborne geophysical observations, and strong competences in Arctic fieldwork logistics. The gravity research group has carried out airborne gravimetry since the 1990s and has an annual work programme to
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Continuum mechanics Large deformation elasticity Design of mechanical devices Programming skills As a formal qualification, you must hold a PhD degree (or equivalent). We offer DTU is a leading technical
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. Knowledge of compilers, especially an LLVM-based compiler tool chain, program analysis, and computer architecture. Knowledge of real-time systems. Systems programming and C/C++. We offer DTU is a leading
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you are open to working with other colleagues. Qualifications You can work independently, plan and execute complicated and challenging tasks. You are flexible, self-motivated, interested in
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, TESPy, or similar libraries. Strong programming skills in Python or MATLAB, including use of scientific libraries (e.g., NumPy, Pandas, Matplotlib, etc). Experience with machine learning (e.g., Scikit